Comprehensive and Detailed In-Depth Explanation:
When designing a database schema that represents a central entity with multiple levels of related subcategories, it's crucial to choose a structure that efficiently models these relationships.
Option A:Relational
* Rationale: A relational database organizes data into tables with rows and columns, using keys to establish relationships between tables. While flexible, the relational model doesn't inherently represent hierarchical relationships, making it less ideal for schemas requiring parent-child data representation.
Option B:Hierarchical
* Rationale: The hierarchical database model structures data in a tree-like format, with a single root (central group) and multiple levels of nested subcategories (parent-child relationships). This model is well-suited for scenarios where data is naturally hierarchical, such as organizational charts or file systems.